Mapping the net ecosystem exchange of CO2 of global terrestrial systems
Net ecosystem exchange of CO2 (NEE) is a useful tool to analyze the carbon balance of different areas. Since it is impossible to measure NEE in-situ at a regional or global scale, this study has conducted a NEE estimation model to map the NEE of global terrestrial systems. By training the model with...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843222003648 |
| _version_ | 1797950748403695616 |
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| author | Yi Lian Haixiao Li Qianqian Renyang Le Liu Jiankang Dong Xiaoning Liu Zihan Qu Lien-Chieh Lee Lei Chen Dongliang Wang Hu Zhang |
| author_facet | Yi Lian Haixiao Li Qianqian Renyang Le Liu Jiankang Dong Xiaoning Liu Zihan Qu Lien-Chieh Lee Lei Chen Dongliang Wang Hu Zhang |
| author_sort | Yi Lian |
| collection | DOAJ |
| description | Net ecosystem exchange of CO2 (NEE) is a useful tool to analyze the carbon balance of different areas. Since it is impossible to measure NEE in-situ at a regional or global scale, this study has conducted a NEE estimation model to map the NEE of global terrestrial systems. By training the model with 2774 series of data collected from the database of AmeriFlux and Fluxnet, and relevant studies, the model has achieved a substantial global NEE estimation with R2 = 0.60, 0.68, and 0.67 for arable land, forest, and grassland systems. According to the estimation, the average annual global NEE was −18.41 billion tons C. Asia was the continent who had the highest NEE (33.93% of global NEE), and forests were the ecosystems who contributed most to global CO2 absorption (51.75% of global NEE). When comparing with the global CO2 emissions, the model results also showed that Asia, North America, and Europe have run out of their ecosystem potential to absorb the CO2 emitted. The countries with top 10 greatest C emission had smaller effective NEEs to deal with their own emitted C except Russia and Canada. Considering the economic contribution of different countries, NEE estimation model could be a helpful tool to achieve a better fairness of controlling C emission tasks by considering both C emission generation and natural C emission handling ability. |
| first_indexed | 2024-04-10T22:21:12Z |
| format | Article |
| id | doaj.art-a9c707d163744d7fabc7cf2a654bc58c |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-10T22:21:12Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-a9c707d163744d7fabc7cf2a654bc58c2023-01-18T04:30:13ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322023-02-01116103176Mapping the net ecosystem exchange of CO2 of global terrestrial systemsYi Lian0Haixiao Li1Qianqian Renyang2Le Liu3Jiankang Dong4Xiaoning Liu5Zihan Qu6Lien-Chieh Lee7Lei Chen8Dongliang Wang9Hu Zhang10College of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China; National Astronomical Observatory of the Chinese Academy of Sciences, Beijing 100012, ChinaSchool of Environmental Science and Engineering, Hubei Polytechnic University, Hubei, Huangshi 435003, China; Corresponding author.College of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, ChinaCollege of Environmental Science and Engineering, Nankai University, Tianjin 300350, ChinaCollege of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, ChinaCollege of Environmental Science and Engineering, Nankai University, Tianjin 300350, ChinaState Grid Hubei Electric Power Co., Ltd., Electric Power Research Institute, Wuhan 430000, ChinaSchool of Environmental Science and Engineering, Hubei Polytechnic University, Hubei, Huangshi 435003, ChinaCollege of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, ChinaSchool of Environmental Science and Engineering, Hubei Polytechnic University, Hubei, Huangshi 435003, ChinaCollege of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, ChinaNet ecosystem exchange of CO2 (NEE) is a useful tool to analyze the carbon balance of different areas. Since it is impossible to measure NEE in-situ at a regional or global scale, this study has conducted a NEE estimation model to map the NEE of global terrestrial systems. By training the model with 2774 series of data collected from the database of AmeriFlux and Fluxnet, and relevant studies, the model has achieved a substantial global NEE estimation with R2 = 0.60, 0.68, and 0.67 for arable land, forest, and grassland systems. According to the estimation, the average annual global NEE was −18.41 billion tons C. Asia was the continent who had the highest NEE (33.93% of global NEE), and forests were the ecosystems who contributed most to global CO2 absorption (51.75% of global NEE). When comparing with the global CO2 emissions, the model results also showed that Asia, North America, and Europe have run out of their ecosystem potential to absorb the CO2 emitted. The countries with top 10 greatest C emission had smaller effective NEEs to deal with their own emitted C except Russia and Canada. Considering the economic contribution of different countries, NEE estimation model could be a helpful tool to achieve a better fairness of controlling C emission tasks by considering both C emission generation and natural C emission handling ability.http://www.sciencedirect.com/science/article/pii/S1569843222003648ForestsArable landsGrasslandsMODISCO2 emissionsNEE |
| spellingShingle | Yi Lian Haixiao Li Qianqian Renyang Le Liu Jiankang Dong Xiaoning Liu Zihan Qu Lien-Chieh Lee Lei Chen Dongliang Wang Hu Zhang Mapping the net ecosystem exchange of CO2 of global terrestrial systems International Journal of Applied Earth Observations and Geoinformation Forests Arable lands Grasslands MODIS CO2 emissions NEE |
| title | Mapping the net ecosystem exchange of CO2 of global terrestrial systems |
| title_full | Mapping the net ecosystem exchange of CO2 of global terrestrial systems |
| title_fullStr | Mapping the net ecosystem exchange of CO2 of global terrestrial systems |
| title_full_unstemmed | Mapping the net ecosystem exchange of CO2 of global terrestrial systems |
| title_short | Mapping the net ecosystem exchange of CO2 of global terrestrial systems |
| title_sort | mapping the net ecosystem exchange of co2 of global terrestrial systems |
| topic | Forests Arable lands Grasslands MODIS CO2 emissions NEE |
| url | http://www.sciencedirect.com/science/article/pii/S1569843222003648 |
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